Patents by Inventor Seonghoon BAN

Seonghoon BAN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11915370
    Abstract: Provided is a method for 3D modeling based on an irregular-shaped sketch, in which the method is executed by one or more processors, and includes receiving 2D sketch data of a target object, inputting the 2D sketch data into a 3D model generation model to generate a 3D model of the target object, and displaying the generated 3D model on a display.
    Type: Grant
    Filed: January 25, 2022
    Date of Patent: February 27, 2024
    Assignee: RECON LABS INC.
    Inventors: Kyungwon Yun, Roger Blanco, Kyung Hoon Hyun, Seonghoon Ban
  • Patent number: 11823308
    Abstract: Provided is a method for generating a freehand sketch of a 3D model for machine learning, which is executed by one or more processors, in which a method for generating freehand sketch data for machine learning includes receiving a 3D model of a target object, and generating a plurality of different freehand sketch images for the target object based on the 3D model.
    Type: Grant
    Filed: January 25, 2022
    Date of Patent: November 21, 2023
    Assignee: RECON LABS INC.
    Inventors: Kyungwon Yun, Roger Blanco, Kyung Hoon Hyun, Seonghoon Ban
  • Publication number: 20230215093
    Abstract: Provided is a method for 3D modeling based on an irregular-shaped sketch, in which the method is executed by one or more processors, and includes receiving 2D sketch data of a target object, inputting the 2D sketch data into a 3D model generation model to generate a 3D model of the target object, and displaying the generated 3D model on a display.
    Type: Application
    Filed: January 25, 2022
    Publication date: July 6, 2023
    Applicant: RECON LABS INC.
    Inventors: Kyungwon YUN, Roger Blanco, Kyung Hoon HYUN, Seonghoon BAN
  • Publication number: 20230206519
    Abstract: Provided is a method for generating a freehand sketch of a 3D model for machine learning, which is executed by one or more processors, in which a method for generating freehand sketch data for machine learning includes receiving a 3D model of a target object, and generating a plurality of different freehand sketch images for the target object based on the 3D model.
    Type: Application
    Filed: January 25, 2022
    Publication date: June 29, 2023
    Applicant: RECON LABS INC.
    Inventors: Kyungwon Yun, Roger Blanco, Kyung Hoon Hyun, Seonghoon Ban
  • Publication number: 20230196673
    Abstract: A method for providing an XR object is provided, which is executed by one or more processors, and includes receiving a plurality of images obtained by capturing an image of a target object positioned in a specific space from different directions, generating an XR object for the target object based on the plurality of images, generating a code for applying the XR object to an online platform, and transmitting the code to a first user terminal.
    Type: Application
    Filed: December 20, 2022
    Publication date: June 22, 2023
    Applicant: RECON Labs Inc.
    Inventors: Kyungwon YUN, Sergio Bromberg Dimate, Leonard YOON, Seonghoon BAN
  • Publication number: 20230186562
    Abstract: The present disclosure relates to a method for 3D modeling based on volume estimation, in which the method is executed by one or more processors, and includes receiving a plurality of images obtained by capturing an image of a target object positioned in a specific space from different directions, estimating a position and pose at which each image is captured, training a volume estimation model based on the plurality of images and the position and pose at which each image is captured, and generating a 3D model of the target object by using the volume estimation model.
    Type: Application
    Filed: January 25, 2022
    Publication date: June 15, 2023
    Applicant: RECON LABS INC.
    Inventors: Kyungwon YUN, Sergio Bromberg Dimate, Leonard YOON, Seonghoon BAN